Turning hearing protection into performance gear.
Electromyography (EMG) Wristband
EMG Wristband: Precision Muscle Signal Interface for Assistive Technology
We developed a wristband that captures electromyography (EMG) signals from subtle wrist muscle activity, translating them into precise digital controls for smart home devices, blinds, thermostats, locks, speakers, customized to each user's residual motor capacity.
For medical inventors tackling accessibility challenges in muscular dystrophy, ALS, and neuromuscular conditions, this represents a breakthrough: an interface sensitive enough to detect micro-movements impossible for conventional gesture systems, paired with adaptive algorithms that learn from user feedback to create truly intuitive controls.
No compromise between sophistication and practicality.
Client: University of Utah
Whether you’re developing your first product or scaling your next, let's talk about it.
Researchers will test Meta’s advanced research algorithms for customizing gesture controls and adapt the experience based on user feedback.
Key technical capabilities:
• High-sensitivity EMG sensor array detects microvolt-level muscle signals from residual wrist activity
• Real-time signal processing translates electrical impulses into precise digital gesture commands
• Adaptive gesture library co-designed with users and Meta research algorithms for personalized control mapping
• Multi-device protocol support controls smart speakers, blinds, locks, thermostats via standard APIs
• Cross-ability calibration accommodates full spectrum from subtle contractions to near-immobile states
